Laurent Heutte

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 37

Top Venues

Publications

Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte
Random forest kernel for high-dimension low sample size classification. Stat. Comput. 34 (1) (2024)
Lucca Portes Cavalheiro, Simon Bernard, Jean Paul Barddal, Laurent Heutte
Random Forest Dissimilarity for High-Dimension Low Sample Size Classification. CoRR (2023)
Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte
Approximating DTW with a convolutional neural network on EEG data. CoRR (2023)
Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte
Approximating dynamic time warping with a convolutional neural network on EEG data. Pattern Recognit. Lett. 171 (2023)
Hugo Lerogeron, Romain Picot-Clémente, Laurent Heutte, Alain Rakotomamonjy
Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW. INNS DLIA@IJCNN (2023)
Caio da S. Dias, Alceu S. Britto Jr., Jean Paul Barddal, Laurent Heutte, Alessandro L. Koerich
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing. SMC (2022)
Caio da S. Dias, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte, Alessandro L. Koerich
Pattern Spotting and Image Retrieval in Historical Documents using Deep Hashing. CoRR (2022)
Zacarias Curi, Stéphane Nicolas, Pierrick Tranouez, Alceu de Souza Britto Jr., Laurent Heutte
Image Retrieval and Pattern Spotting on Historical Documents with Binary Descriptors. ICPR (2022)
Lucca Portes Cavalheiro, Alceu de Souza Britto Jr., Jean Paul Barddal, Laurent Heutte
Dynamically Selected Ensemble for Data Stream Classification. IJCNN (2021)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. CoRR (2020)
Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
Improving pattern spotting in historical documents using feature pyramid networks. Pattern Recognit. Lett. 131 (2020)
Lucca Portes Cavalheiro, Jean Paul Barddal, Alceu de Souza Britto Jr., Laurent Heutte
scikit-dyn2sel - A Dynamic Selection Framework for Data Streams. CoRR (2020)
Simon Bernard, Hongliu Cao, Robert Sabourin, Laurent Heutte
Random Forest for Dissimilarity-based Multi-view Learning. CoRR (2020)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
A Novel Random Forest Dissimilarity Measure for Multi-View Learning. ICPR (2020)
Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz S. Oliveira
Image Retrieval and Pattern Spotting using Siamese Neural Network. CoRR (2019)
Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
Pattern Spotting in Historical Documents Using Convolutional Models. HIP@ICDAR (2019)
Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz S. Oliveira
Image Retrieval and Pattern Spotting using Siamese Neural Network. IJCNN (2019)
Hongliu Cao, Simon Bernard, Robert Sabourin, Laurent Heutte
Random forest dissimilarity based multi-view learning for Radiomics application. Pattern Recognit. 88 (2019)
P. J. Sudharshan, Caroline Petitjean, Fabio A. Spanhol, Luiz Eduardo Soares de Oliveira, Laurent Heutte, Paul Honeine
Multiple instance learning for histopathological breast cancer image classification. Expert Syst. Appl. 117 (2019)
Kelly Lais Wiggers, Alceu de Souza Britto Junior, Alessandro Lameiras Koerich, Laurent Heutte, Luiz Eduardo Soares de Oliveira
Deep Learning Approaches for Image Retrieval and Pattern Spotting in Ancient Documents. CoRR (2019)
Ignacio Úbeda, Jose M. Saavedra, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
Pattern Spotting in Historical Documents Using Convolutional Models. CoRR (2019)
Kelly Lais Wiggers, Alceu S. Britto Jr., Laurent Heutte, Alessandro L. Koerich, Luiz Eduardo Soares de Oliveira
Document Image Retrieval Using Deep Features. IJCNN (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dissimilarity-based representation for radiomics applications. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Improve the Performance of Transfer Learning Without Fine-Tuning Using Dissimilarity-Based Multi-view Learning for Breast Cancer Histology Images. ICIAR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dynamic voting in multi-view learning for radiomics applications. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images. CoRR (2018)
Hongliu Cao, Simon Bernard, Laurent Heutte, Robert Sabourin
Dynamic Voting in Multi-view Learning for Radiomics Applications. S+SSPR (2018)
Fabio A. Spanhol, Luiz S. Oliveira, Paulo R. Cavalin, Caroline Petitjean, Laurent Heutte
Deep features for breast cancer histopathological image classification. SMC (2017)
Violeta Chang, Laurent Heutte, Caroline Petitjean, Steffen Härtel, Nancy Hitschfeld
Automatic classification of human sperm head morphology. Comput. Biol. Medicine 84 (2017)
Laurent Heutte
Keynote 3: Random forests for biomedical data classification. ICSIPA (2017)
Sovann En, Stéphane Nicolas, Caroline Petitjean, Frédéric Jurie, Laurent Heutte
New public dataset for spotting patterns in medieval document images. J. Electronic Imaging 26 (1) (2017)
Arturo Mendoza Quispe, Caroline Petitjean, Laurent Heutte
Extreme learning machine for out-of-sample extension in Laplacian eigenmaps. Pattern Recognit. Lett. 74 (2016)
Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie
Region Proposal for Pattern Spotting in Historical Document Images. ICFHR (2016)
Fabio A. Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte
A Dataset for Breast Cancer Histopathological Image Classification. IEEE Trans. Biomed. Eng. 63 (7) (2016)
Fabio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean, Laurent Heutte
Breast cancer histopathological image classification using Convolutional Neural Networks. IJCNN (2016)
Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte
A scalable pattern spotting system for historical documents. Pattern Recognit. 54 (2016)
Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte, Frédéric Jurie
Pattern localization in historical document images via template matching. ICPR (2016)
Simon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet, Yousri Kessentini
A deep HMM model for multiple keywords spotting in handwritten documents. Pattern Anal. Appl. 18 (4) (2015)
Sovann En, Caroline Petitjean, Stéphane Nicolas, Laurent Heutte
Segmentation-free pattern spotting in historical document images. ICDAR (2015)
Sovann En, Frédéric Jurie, Stéphane Nicolas, Caroline Petitjean, Laurent Heutte
Linear Discriminant Analysis for Zero-shot Learning Image Retrieval. VISAPP (2) (2015)
Yiqing Liang, R. M. Guest, Michael C. Fairhurst, Laurent Heutte, Stéphane Nicolas, Alexandre Burnett, Thomas Palfray
EMMEL: a framework for historical manuscript analysis and presentation. Univers. Access Inf. Soc. 13 (2) (2014)
Simon Thomas, Clément Chatelain, Thierry Paquet, Laurent Heutte
Un modèle neuro markovien profond pour l'extraction de séquences dans des documents manuscrits. Document Numérique 16 (2) (2013)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
One class random forests. Pattern Recognit. 46 (12) (2013)
Vladislavs Dovgalecs, Alexandre Burnett, Pierrick Tranouez, Stéphane Nicolas, Laurent Heutte
Spot It! Finding Words and Patterns in Historical Documents. ICDAR (2013)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
A Random Forest Based Approach for One Class Classification in Medical Imaging. MLMI (2012)
Thierry Paquet, Laurent Heutte, Guillaume Koch, Clément Chatelain
A categorization system for handwritten documents. Int. J. Document Anal. Recognit. 15 (4) (2012)
Chesner Désir, Caroline Petitjean, Laurent Heutte, Mathieu Salaün, Luc Thiberville
Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees. IEEE Trans. Biomed. Eng. 59 (9) (2012)
Chesner Désir, Simon Bernard, Caroline Petitjean, Laurent Heutte
A New Random Forest Method for One-Class Classification. SSPR/SPR (2012)
Pierrick Tranouez, Stéphane Nicolas, Vladislavs Dovgalecs, Alexandre Burnett, Laurent Heutte, Yiqing Liang, Richard M. Guest, Michael C. Fairhurst
DocExplore: overcoming cultural and physical barriers to access ancient documents. ACM Symposium on Document Engineering (2012)
Simon Bernard, Sébastien Adam, Laurent Heutte
Dynamic Random Forests. Pattern Recognit. Lett. 33 (12) (2012)
Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville, Mathieu Salaün
An SVM-based distal lung image classification using texture descriptors. Comput. Medical Imaging Graph. 36 (4) (2012)
David Hebert, Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville
Detection of pathological condition in distal lung images. ISBI (2012)
Florent Montreuil, Stéphane Nicolas, Laurent Heutte, Emmanuèle Grosicki
Intégration d'informations textuelles de haut niveau en analyse de structures de documents manuscrits non contraints. Document Numérique 14 (2) (2011)
Clément Chatelain, Sébastien Adam, Yves Lecourtier, Laurent Heutte, Thierry Paquet
A multi-model selection framework for unknown and/or evolutive misclassification cost problems. Pattern Recognit. 43 (3) (2010)
Simon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet
Alpha-Numerical Sequences Extraction in Handwritten Documents. ICFHR (2010)
Kamel Ait-Mohand, Laurent Heutte, Thierry Paquet, Nicolas Ragot
Font adaptation of an HMM-based OCR system. DRR (2010)
Florent Montreuil, Stéphane Nicolas, Emmanuele Grosicki, Laurent Heutte
A New Hierarchical Handwritten Document Layout Extraction Based on Conditional Random Field Modeling. ICFHR (2010)
Chesner Désir, Caroline Petitjean, Laurent Heutte, Luc Thiberville
Using a Priori Knowledge to Classify in Vivo Images of the Lung. ICIC (2) (2010)
Clément Chatelain, Sébastien Adam, Yves Lecourtier, Laurent Heutte, Thierry Paquet
Noncost Sensitive SVM Training Using Multiple Model Selection. J. Circuits Syst. Comput. 19 (1) (2010)
Simon Bernard, Laurent Heutte, Sébastien Adam
A Study of Strength and Correlation in Random Forests. ICIC (3) (2010)
Kamel Ait-Mohand, Thierry Paquet, Nicolas Ragot, Laurent Heutte
Structure Adaptation of HMM Applied to OCR. ICPR (2010)
Simon Thomas, Clément Chatelain, Laurent Heutte, Thierry Paquet
An Information Extraction Model for Unconstrained Handwritten Documents. ICPR (2010)
Simon Bernard, Laurent Heutte, Sébastien Adam
On the selection of decision trees in Random Forests. IJCNN (2009)
Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt
A Top-Down Approach for Automatic Dropper Extraction in Catenary Scenes. IbPRIA (2009)
Caroline Petitjean, Laurent Heutte, Régis Kouadio, Vincent Delcourt
Automatic Extraction of Droppers in Catenary Scenes. MVA (2009)
Florent Montreuil, Emmanuele Grosicki, Laurent Heutte, Stéphane Nicolas
Unconstrained Handwritten Document Layout Extraction Using 2D Conditional Random Fields. ICDAR (2009)
Caroline Petitjean, Jonathan Benoist, Luc Thiberville, Mathieu Salaün, Laurent Heutte
Classification of In-Vivo Endomicroscopic Images of the Alveolar Respiratory System. MVA (2009)
Aurélien Saint-Réquier, Benoît Lelandais, Caroline Petitjean, Chesner Désir, Laurent Heutte, Mathieu Salaün, Luc Thiberville
Characterization of Endomicroscopic Images of the Distal Lung for Computer-Aided Diagnosis. ICIC (1) (2009)
Simon Bernard, Laurent Heutte, Sébastien Adam
Towards a Better Understanding of Random Forests through the Study of Strength and Correlation. ICIC (2) (2009)
Simon Bernard, Laurent Heutte, Sébastien Adam
Influence of Hyperparameters on Random Forest Accuracy. MCS (2009)
Wei Jia, Bin Ling, Kwok-Wing Chau, Laurent Heutte
Palmprint identification using restricted fusion. Appl. Math. Comput. 205 (2) (2008)
Utpal Garain, Swapan K. Parui, Thierry Paquet, Laurent Heutte
Machine dating of manuscripts written by an individual. J. Electronic Imaging 17 (1) (2008)
Stéphane Nicolas, Laurent Heutte, Thierry Paquet
Authorial manuscript image analysis using markovian models: the Bovary project. EUSIPCO (2008)
Simon Bernard, Laurent Heutte, Sébastien Adam
Forest-RK: A New Random Forest Induction Method. ICIC (2) (2008)
Florent Montreuil, Régis Kouadio, Caroline Petitjean, Laurent Heutte, Vincent Delcourt
Automatic extraction of information for catenary scene analysis. EUSIPCO (2008)
Stephanie Glenat, Laurent Heutte, Thierry Paquet, Richard M. Guest, Michael C. Fairhurst, Tristan Linnell
The Development of a Computer-Assisted Tool for the Assessment of Neuropsychological Drawing Tasks. Int. J. Inf. Technol. Decis. Mak. 7 (4) (2008)
Xiaofeng Wang, De-Shuang Huang, Ji-Xiang Du, Huan Xu, Laurent Heutte
Classification of plant leaf images with complicated background. Appl. Math. Comput. 205 (2) (2008)
Clément Chatelain, Sébastien Adam, Yves Lecourtier, Laurent Heutte, Thierry Paquet
Multi-Objective Optimization for SVM Model Selection. ICDAR (2007)
Stéphane Nicolas, J. Dardenne, Thierry Paquet, Laurent Heutte
Document Image Segmentation Using a 2D Conditional Random Field Model. ICDAR (2007)
Alain Wiart, Thierry Paquet, Laurent Heutte
Detection and recognition of erasures in on-line captured paper forms. Pattern Recognit. Lett. 28 (10) (2007)
Utpal Garain, Swapan K. Parui, Thierry Paquet, Laurent Heutte
Machine Dating of Handwritten Manuscripts. ICDAR (2007)
Simon Bernard, Sébastien Adam, Laurent Heutte
Using Random Forests for Handwritten Digit Recognition. ICDAR (2007)
Stéphane Nicolas, Thierry Paquet, Laurent Heutte
Complex Handwritten Page Segmentation Using Contextual Models. DIAL (2006)
Clément Chatelain, Laurent Heutte, Thierry Paquet
Extraction automatique de champs numériques dans des documents manuscrits. EGC (2006)
Stéphane Nicolas, Thierry Paquet, Laurent Heutte
A Markovian Approach for Handwritten Document Segmentation. ICPR (3) (2006)
Clément Chatelain, Laurent Heutte, Thierry Paquet
A two-stage outlier rejection strategy for numerical field extraction in handwritten documents. ICPR (3) (2006)
Utpal Garain, Thierry Paquet, Laurent Heutte
On foreground - background separation in low quality document images. Int. J. Document Anal. Recognit. 8 (1) (2006)
Clément Chatelain, Laurent Heutte, Thierry Paquet
Segmentation-Driven Recognition Applied to Numerical Field Extraction from Handwritten Incoming Mail Documents. Document Analysis Systems (2006)
Héla Zouari, Laurent Heutte, Yves Lecourtier
Experimental Comparison of Combination Rules using Simulated Data. ICPR (3) (2006)
Héla Zouari, Laurent Heutte, Yves Lecourtier
Using Diversity Measure in Building Classifier Ensembles for Combination Method Analysis. CORES (2005)
Guillaume Koch, Laurent Heutte, Thierry Paquet
Automatic extraction of numerical sequences in handwritten incoming mail documents. Pattern Recognit. Lett. 26 (8) (2005)
Stéphane Nicolas, Yousri Kessentini, Thierry Paquet, Laurent Heutte
Handwritten Document Segmentation Using Hidden Markov Random Fields. ICDAR (2005)
Utpal Garain, Thierry Paquet, Laurent Heutte
On Foreground-Background Separation in Low Quality Color Document Images. ICDAR (2005)
Héla Zouari, Laurent Heutte, Yves Lecourtier
Controlling the diversity in classifier ensembles through a measure of agreement. Pattern Recognit. 38 (11) (2005)
Ameur Bensefia, Thierry Paquet, Laurent Heutte
A writer identification and verification system. Pattern Recognit. Lett. 26 (13) (2005)
Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi
Simulating Classifier Ensembles of Fixed Diversity for Studying Plurality Voting Performance. ICPR (1) (2004)
Guillaume Koch, Thierry Paquet, Laurent Heutte
Combination of contextual information for handwritten word recognition. IWFHR (2004)
Héla Zouari, Laurent Heutte, Yves Lecourtier, Adel M. Alimi
Building Diverse Classifier Outputs to Evaluate the Behavior of Combination Methods: The Case of Two Classifiers. Multiple Classifier Systems (2004)
Clément Chatelain, Laurent Heutte, Thierry Paquet
A syntax-directed method for numerical field extraction using classifier combination. IWFHR (2004)
Laurent Heutte, Ali Nosary, Thierry Paquet
A multiple agent architecture for handwritten text recognition. Pattern Recognit. 37 (4) (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Laurent Heutte